ArticleNature biomedical engineering2023
Peptide-encoding mRNA barcodes for the high-throughput in vivo screening of libraries of lipid nanoparticles for mRNA delivery.
Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Structural evolution of ionizable lipids for nucleic acid delivery.Nature reviews. Chemistry · 2026Review
- Elucidating lipid nanoparticle properties and structure through biophysical analyses.Nature biotechnology · 2026Article
- Non-invasive nanoparticle barcoding in nonhuman primates.Nature biotechnology · 2026Article
- A novel machine learning framework-based rapid screening of ionizable lipids in LNPs for highly-efficient mRNA expression.Acta pharmaceutica Sinica. B · 2026Article
- The Use of Deep Learning in RNA Therapeutic Development.ACS nano · 2026Review
- Monitoring in vivo transcription with synthetic serum markers.Nature communications · 2026Article
- Deciphering the biological fate of mRNA-LNP-based biologics: A perspective from tissue to intracellular distribution.Acta pharmaceutica Sinica. B · 2026Review
- Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.Materials today. Bio · 2026Review
- Engineering lipid nanoparticle-stabilized emulsions for spatiotemporal mRNA delivery and enhanced T cell immunity.Cell reports. Medicine · 2026Article
- Optimizing C14120-based LNPs forMolecular therapy. Nucleic acids · 2026Article
- Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency.Briefings in bioinformatics · 2026Article
- In vivo chimeric antigen receptor (CAR)-T cell therapy.Nature reviews. Drug discovery · 2026Review
- Lipid Nanoparticle Database towards structure-function modeling and data-driven design for nucleic acid delivery.Nature communications · 2026Article
- Multiplexed lipid nanoparticle barcoding reveals tissue-dynamic kinetic insights and enriched cellular tropism in hepatic zones.Nature communications · 2026Article
- Peptide codes for organ-selective mRNA delivery.Nature materials · 2026Article
- Use of the Peptide Barcode Method for Efficient Screening of mRNA Expression Control Sequence.Mass spectrometry (Tokyo, Japan) · 2026Article
- Tissue-specific mRNA delivery and prime editing with peptide-ionizable lipid nanoparticles.Nature materials · 2026Article
- Unique Aerofoil-Structured Microfluidics for High Throughput Lipid Nanoparticle Formulation Screening and Scale-up.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- mRNA vaccine developed for sequential selective organ-to-cell targeting of glioma.Nature communications · 2025Article
- Chemical strategies for brain delivery of genomic therapy.Nature reviews. Chemistry · 2025Review
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5 authors.
Funding
Abstract
Developing safe and effective nanoparticles for the delivery of messenger RNA (mRNA) is slow and expensive, partly due to the lack of predictive power of in vitro screening methods and the low-throughput nature of in vivo screening. While DNA barcoding and batch analysis present methods for increasing in vivo screening throughput, they can also result in incomplete or misleading measures of efficacy. Here, we describe a high-throughput and accurate method for the screening of pooled nanoparticle formulations within the same animal. The method uses liquid chromatography with tandem mass spectrometry to detect peptide barcodes translated from mRNAs in nanoparticle-transfected cells. We show the method's applicability by evaluating a library of over 400 nanoparticle formulations with 384 unique ionizable lipids using only nine mice to optimize the formulation of a biodegradable lipid nanoparticle for mRNA delivery to the liver. Barcoding lipid nanoparticles with peptide-encoding mRNAs may facilitate the rapid development of nanoparticles for mRNA delivery to specific cells and tissues.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.